GSResponseResultsPerGeneInner¶
Per-gene summary statistics.
Properties¶
| Name | Type | Description | Notes |
|---|---|---|---|
| gene_id | str | Gene identifier. | [optional] |
| cell_count | int | Number of cells expressing the gene. | [optional] |
| mean | float | Mean expression | [optional] |
| median | float | Median expression | [optional] |
| std_dev | float | Standard deviation | [optional] |
| min | float | Minimum value | [optional] |
| max | float | Maximum value | [optional] |
| quantiles | List[float] | List of quantile values from 0 to 1 (inclusive), with step 0.1 | [optional] |
| histogram | List[List[float]] | Histogram as a list of [binStart, binEnd, count] triples. Length depends of the selected sample size, maximum is 20. | [optional] |
Example¶
from odm_api.models.gs_response_results_per_gene_inner import GSResponseResultsPerGeneInner
# TODO update the JSON string below
json = "{}"
# create an instance of GSResponseResultsPerGeneInner from a JSON string
gs_response_results_per_gene_inner_instance = GSResponseResultsPerGeneInner.from_json(json)
# print the JSON string representation of the object
print(GSResponseResultsPerGeneInner.to_json())
# convert the object into a dict
gs_response_results_per_gene_inner_dict = gs_response_results_per_gene_inner_instance.to_dict()
# create an instance of GSResponseResultsPerGeneInner from a dict
gs_response_results_per_gene_inner_from_dict = GSResponseResultsPerGeneInner.from_dict(gs_response_results_per_gene_inner_dict)